Teams

Caitlin Moffett

2026 Flex Singles League - Women · 4.0 Women

1 player · average NTRP 3.50 / SOUTHERN CONNECTICUT

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Flight standings24 teams · 4.0 Women
TeamWLInd. WInd. LSets lostGames lost
1Fiona Mark000000
2Lauren Morea000000
3Dorothy Brill011003
4Holly Brittain010009
5Jill Grego011019
6Emily Salmore010119
7Carissa Siegner0101212
8Marissa Levey0101213
9Melissa O'Neill0220014
10Ilana Perlman0202425
11Onelda Koehler0330014
12Monica Young0321215
13Shannon Roper0321221
14Caitlin Moffett0321433
15Heather Nelson0303534
16Kim Gibson0302535
17Aimee Ableman0303636
18Angela Salcedo0532546
19Ellen Chubak0513748
20Rachel Massa0751242
21Samantha Shinnick0751440
22Trudie Gubitz0734863
23Ingrid Bell07251074
24Hong Xu0944976

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.10 estimated across 1 rated player. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.10
Caitlin Moffett
usually #1 Singles 100% · published 3.5
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

3.5
Caitlin Moffett
63W–78L career · 3 lines in 2026
23%77%<1%
3.10

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.